Best On-Premises Machine Learning Software
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Compare the Top On-Premises Machine Learning Software as of April 2025
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What is On-Premises Machine Learning Software?
Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation. Compare and read user reviews of the best On-Premises Machine Learning software currently available using the table below. This list is updated regularly.
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1
InRule
InRule
InRule Technology® provides explainable, AI-powered intelligence automation. The InRule platform empowers its users to delight customers and improve business outcomes by combining process, decision automation and machine learning – without code. InRule acquired explainable AI leader simMachines. InRule Technology also acquired Barium, provider of a widely deployed digital process automation platform. Making automation accessible is at the heart of everything we do. We put the power of wholistic automation directly in the hands of business users and subject matter experts. Over half of our users are non-technical. Our intelligence automation platform enables organizations to predict, decide and process faster, cheaper and more accurately. Greater productivity, increased revenue, and exceptional business outcomes. -
2
Oracle Analytics Cloud
Oracle
Oracle Analytics is a complete platform for every analytics user role. AI and ML are embedded throughout the platform to accelerate productivity and power better business decisions. Choose either Oracle Analytics Cloud, our cloud native service, or our on-premises solution, Oracle Analytics Server, both of which help you avoid compromising security and governance. Oracle Analytic addresses all needs of business users from data to decision. Oracle Analytics can help you solve your business problems with built in data preparation and enrichment, no-code machine learning and industry leading data visualization.Starting Price: $16 User Per Month - Oracle An -
3
MindsDB
MindsDB
MindsDB is an AGI data solution that connects to diverse data sources and applications and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. Our Values: - Connect to a wide range of data sources and applications using a single interface and language using the Federated query engine. - MindsDB's Knowledge Base unifies and makes sense of structured and unstructured data. - Minds "Cognition" understands, plans, finds, and retrieves the best data to respond to questions while offering full transparency of their thoughts and user actions to IT/operators. MindsDB offers AI solutions for Open Source and Minds Enterprise. Connect, Unify, Respond To any data, anywhere with human-level intelligence -
4
Mobius Labs
Mobius Labs
We make it easy to add superhuman computer vision to your applications, devices and processes to give you unassailable competitive advantage. No code, customizable & on-premise AI solutions. -
5
Pathway
Pathway
Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes.
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